Staff
Core
Design and evolve global telemetry systems, improve observability and production resilience, and build an AI-native semantic layer with agentic natural-language data experiences.
Role type
Staff-level distributed systems engineer (data platform & AI)
Builds
High-throughput ingestion, processing, storage, query, routing, and delivery systems; AI-native semantic layer and agentic data experiences
Domain
Cloud data platforms, distributed systems, AI/LLM data modeling
Deliverable
production ML models
Required skills
Go, Java, Python, C++, AWS, GCP, Kubernetes, HTTP/2, gRPC, Protocol Buffers, Parquet, SLO design, incident response, cross-team technical leadership
Preferred skills
LLM-based systems, semantic layers, AI data modeling, MSCS
Technologies
Go, Java, Python, C++, AWS, GCP, Kubernetes, HTTP/2, gRPC, Protocol Buffers, Parquet
Responsibilities
Design and evolve telemetry systems spanning global edge ingestion, processing, querying, and customer delivery; Improve observability, SLOs, deployment safety, and production resilience; Build an AI-native semantic layer and agentic natural-language data experiences; Develop high-throughput ingestion, processing, storage, query, routing, and delivery systems; Lead cross-team technical initiatives, shape architecture through design reviews, and mentor engineers
Seniority
Staff, hands-on IC with significant technical scope
